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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 19464
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    Explanations

    information related to technology and product releases

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opportunity and potential

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     progresses
    -0.63
     unforeseen
    -0.61
    ulative
    -0.59
     interactions
    -0.58
     manipulated
    -0.55
     evolves
    -0.54
     semblance
    -0.54
    lasting
    -0.54
     perceptions
    -0.53
    verages
    -0.53
    POSITIVE LOGITS
     probably
    0.85
    starter
    0.83
     surely
    0.78
     largeDownload
    0.77
    sure
    0.76
     suffice
    0.72
    probably
    0.72
     definitely
    0.71
     certainly
    0.70
    Probably
    0.69
    Activations Density 0.292%

    No Known Activations